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Evaluation of Receiver-Feedback Techniques for Fragmentation Over LPWANs
- Source :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works The Internet Engineering Task Force (IETF) has standardized a new framework for IPv6 support over Low Power Wide Area Networks (LPWANs), called Static Context Header Compression and Fragmentation (SCHC). SCHC includes acknowledgment (ACK)-based mechanisms for reliable fragmented packet transmission. For the latter, SCHC defines a Receiver-Feedback Technique (RFT), called Compressed Bitmap (CB), by which a receiver reports to the sender whether the fragments carrying a packet have been received or not. Such information is carried as ACK payload. Considering the extraordinary frame size and message rate constraints of LPWANs, ACK payload size becomes crucial. In this paper, we compare the performance of CB with that of several alternative RFTs, namely List of Lost Fragments (LLF), List of Deltas (LoD), and Uncompressed Bitmap (UB), where the latter is used as a benchmark. We evaluate the considered RFTs in terms of ACK size, number of Layer 2 (L2) frames needed to carry an ACK, and ACK Time on Air. Our analysis shows that the use of RFTs different from CB offers significant performance improvement in many scenarios. Furthermore, we provide guidance on which RFT should be used for different packet sizes, error rates and error patterns. This research is funded in part by the ERDF and the Spanish Government through project TEC2016-79988-P and project PID2019-106808RA-I00, AEI/FEDER, EU.
- Subjects :
- Internet of things
IoT
IETF
Internet de les coses
IPv6
Computer Networks and Communications
Computer science
SCHC
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Fragmentation (computing)
Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]
LoRaWAN
Computer Science Applications
Hardware and Architecture
Chemical physics
LPWAN
fragmentation
Sigfox
Signal Processing
SDNV
Information Systems
Subjects
Details
- ISSN :
- 23722541
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Internet of Things Journal
- Accession number :
- edsair.doi.dedup.....5b69d2ada30e2c4715cfeb75860eae95